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Real Estate Counter and Rental Clerks – AI Trainer, Contract

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contract

Posted on:

Location Type: Remote

Location: United States

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Salary

💰 $60 per hour

About the role

  • Contribute to an hourly, temporary AI research project—but there’s no AI experience needed.
  • Leverage your professional experience to evaluate what AI models produce in your field.
  • Assess content related to your field of work.
  • Deliver clear, structured feedback that strengthens the model’s understanding of your workplace tasks and language.
  • Engage with customers to process rental transactions and provide detailed information on rental items.

Requirements

  • You have at least 4 years of professional experience in one or more of the following types of work.
  • The examples below reflect the types of real-world responsibilities that you might have had in your role that will give you the context needed to evaluate and train high-quality AI models.
  • Engage with customers to process rental transactions, including computing charges, receiving payments, and explaining rental policies.
  • Provide detailed information on rental items, inspect and adjust them as needed, and maintain accurate records of transactions and inventory.
  • Handle customer inquiries and reservations efficiently, ensuring a seamless rental experience.
  • You’re able to participate in asynchronous work in partnership with leading AI labs.
Benefits
  • The position is remote and asynchronous; work independently from wherever you are.
  • The hours are flexible, with no minimum commitment, but most average 5-20 hrs
  • The work includes developing prompts for AI models that reflect your field, and then evaluating responses.
  • You’ll learn new skills and contribute to how AI is used in your field

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Soft skills
clear communicationstructured feedbackcustomer engagementproblem-solvingattention to detailrecord keepingtransaction processinginquiry handlingasynchronous collaboration